Pedestrian intention prediction for autonomous vehicles: A comprehensive survey
Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …
social, economic and environmental benefits. However, the rising safety apprehensions for …
Motiondiffuse: Text-driven human motion generation with diffusion model
Human motion modeling is important for many modern graphics applications, which typically
require professional skills. In order to remove the skill barriers for laymen, recent motion …
require professional skills. In order to remove the skill barriers for laymen, recent motion …
Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction
Human motion prediction is a challenging task due to the stochasticity and aperiodicity of
future poses. Recently, graph convolutional network has been proven to be very effective to …
future poses. Recently, graph convolutional network has been proven to be very effective to …
Avatarposer: Articulated full-body pose tracking from sparse motion sensing
Abstract Today's Mixed Reality head-mounted displays track the user's head pose in world
space as well as the user's hands for interaction in both Augmented Reality and Virtual …
space as well as the user's hands for interaction in both Augmented Reality and Virtual …
Back to mlp: A simple baseline for human motion prediction
This paper tackles the problem of human motion prediction, consisting in forecasting future
body poses from historically observed sequences. State-of-the-art approaches provide good …
body poses from historically observed sequences. State-of-the-art approaches provide good …
Progressively generating better initial guesses towards next stages for high-quality human motion prediction
This paper presents a high-quality human motion prediction method that accurately predicts
future human poses given observed ones. Our method is based on the observation that a …
future human poses given observed ones. Our method is based on the observation that a …
Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection
Anomalies are rare and anomaly detection is often therefore framed as One-Class
Classification (OCC), ie trained solely on normalcy. Leading OCC techniques constrain the …
Classification (OCC), ie trained solely on normalcy. Leading OCC techniques constrain the …
Circle: Capture in rich contextual environments
Synthesizing 3D human motion in a contextual, ecological environment is important for
simulating realistic activities people perform in the real world. However, conventional optics …
simulating realistic activities people perform in the real world. However, conventional optics …
A review of prospects and opportunities in disassembly with human–robot collaboration
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …
of-use (EoU) products. However, the current manual disassembly process is inefficient due …
Auxiliary tasks benefit 3d skeleton-based human motion prediction
Exploring spatial-temporal dependencies from observed motions is one of the core
challenges of human motion prediction. Previous methods mainly focus on dedicated …
challenges of human motion prediction. Previous methods mainly focus on dedicated …